Description

Define and evolve the data architecture, ensuring scalability and alignment with technology plan.

Design and implement the Data Platform (Salesforce Data 360), coordinating implementation partners, Olocip, and internal team.

Establish data governance model: quality, lineage, security, regulatory compliance (GDPR).

In-depth audit of existing solutions: data lake, golden data record, key integrations (SSO, CRM, ERP).

Generate technical documentation as basis for knowledge transfer.

Act as PM for complex data projects (Data Platform, Phase 4 of Data Lake, integrations with new ERPs).

Coordinate external suppliers and implementers, ensuring compliance with deadlines, technical quality, knowledge transfer.

Support development of reporting layers in Power BI, establishing criteria for data sources and reporting architecture.

Lead or supervise integrations between data lake and core systems: ERP Finance, ERP Retail, Salesforce CRM and Marketing Cloud.

Qualifications

University degree in Computer Engineering, Mathematics, Statistics, Telecommunications or a related discipline.

Postgraduate training in Data Engineering, Cloud Architecture or Data Management is an asset.

Azure proficiency (Data Lake, Data Factory, Synapse, or equivalent). Azure certifications (AZ-900, DP-203, or equivalent) are differentiating factors.

Solid knowledge of SQL and at least one data‑oriented programming language (Python preferred).

Knowledge of modern data architectures: medallion architecture, data mesh, lakehouse.





Ability to audit third‑party code, pipelines, and integrations using own criteria.

Familiarity with Salesforce ecosystem (Sales, Marketing Cloud, Data 360) as a data consumption layer.

Essential Experience

Minimum 5 years in data engineering, data architecture, or similar roles.

Demonstrable experience with Azure Data Lake or equivalent platforms (AWS, GCP) in production environments.

Experience designing and implementing data integrations between heterogeneous systems (ERP, CRM, digital platforms).

Experience managing or coordinating external data partners/providers.

Experience in Power BI projects or other BI/reporting tools connected to complex data layers.

Highly Valued

Experience implementing Customer Data Platforms (CDP): Salesforce Data Cloud/Data 360, Segment, mParticle or similar.

Experience in entertainment, sports, retail or digital media sectors with high user base and fan/customer behavior data.

Led processes of internalizing technical capabilities.

Experience building or developing data teams from initial stages.

Skills

Communication with external partners.

Effective communication with non‑technical profiles.

Ownership mindset: doesn’t delegate what can be resolved, doesn’t scale what can be managed.

Proactivity.

Results‑oriented approach in environments with limited resources and multiple simultaneous priorities.

Adaptability.

Level of Experience (years)

Senior (5+ years of experience)

📌 Lead Data Engineer – Onsite (Madrid)
🏢 Nlp People
📍 Madrid